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Security audit

Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades

Security checks for vulnerabilities and agentic risk

Overview

The skill is a coherent prediction-market data client, but it needs review because it can send wallet identifiers and a bearer API key to a third-party service without enough privacy and credential-safety guardrails.

Install only if you are comfortable sending market queries, wallet addresses, and related portfolio/P&L lookups to AIsa using your AISA_API_KEY. Use it only for wallets you own or are authorized to analyze, avoid logging or retaining wallet results unnecessarily, and consider hardening redirect handling before using a valuable API key.

A.I.G

Vulnerability Patterns
  • Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
Findings (1)

T09 · Insecure Skill Coding Practices

Warning
Location
scripts/prediction_market_client.py:66
Finding

Bearer API Credential May Be Disclosed Through Cross-Origin Redirects

Content
View full analysis
Remediation
View remediation

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (21)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · CLAUDE.md (reported line 30)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · scripts/prediction_market_client.py (reported line 52)May include surrounding context.

python
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 137)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 146)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 162)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 171)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 180)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 214)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 223)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 232)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 241)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 251)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · skill.md (reported line 261)May include surrounding context.

md
class PredictionMarketClient:
    """Cross-Platform Prediction Market Data - AIsa API Client."""

    BASE_URL = "https://api.aisa.one/apis/v1"

    def __init__(self, api_key: Optional[str] = None):
        self.api_key = api_key or os.environ.get("AISA_API_KEY")

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The skill explicitly promotes wallet-level activity, positions, and P&L tracking without any privacy warning, consent guidance, or data-minimization advice. Even if wallet addresses are public on-chain, aggregating them through a third-party analytics API makes it easier to profile an individual's financial behavior, holdings, and trading history.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
90% confidence
Finding

This example transmits a wallet address to an external API to retrieve user activity, which can expose trading behavior and enable profiling when used without consent or warning. In the context of a skill intended for autonomous agents, the lack of guardrails increases the chance of querying third-party services with sensitive financial identifiers automatically.

Content

Scanner excerpt · skill.md (reported line 154)May include surrounding context.

bash
# Fetch activity data for a specific user
curl -X GET "https://api.aisa.one/apis/v1/polymarket/activity?user={wallet_address}" \
  -H "Authorization: Bearer $AISA_API_KEY"

External Transmission

Medium
Category
Data Exfiltration
Confidence
91% confidence
Finding

This endpoint sends a wallet address to a third party to retrieve positions, directly exposing potentially sensitive portfolio holdings and investment behavior. Because the skill frames this as a standard capability without warning or consent checks, an autonomous agent could disclose or profile users more easily than raw on-chain access would.

Content

Scanner excerpt · skill.md (reported line 188)May include surrounding context.

bash
# Fetch all Polymarket positions for a proxy wallet address
curl -X GET "https://api.aisa.one/apis/v1/polymarket/positions/wallet/{wallet_address}" \
  -H "Authorization: Bearer $AISA_API_KEY"

External Transmission

Medium
Category
Data Exfiltration
Confidence
89% confidence
Finding

This wallet-information lookup transmits a wallet address to an external service for enrichment, enabling third-party observation and aggregation of a user's financial identity. The danger is increased by the absence of any privacy notice, consent requirement, or limitation on whose wallet can be queried.

Content

Scanner excerpt · skill.md (reported line 196)May include surrounding context.

bash
# Fetch wallet information
curl -X GET "https://api.aisa.one/apis/v1/polymarket/wallet?eoa={wallet_address}" \
  -H "Authorization: Bearer $AISA_API_KEY"

External Transmission

Medium
Category
Data Exfiltration
Confidence
92% confidence
Finding

This example sends a wallet address to obtain realized P&L, which is especially sensitive because it reveals financial performance rather than just public market state. Making this a routine documented workflow without privacy cautions increases the risk of unauthorized financial surveillance or oversharing by downstream agents.

Content

Scanner excerpt · skill.md (reported line 204)May include surrounding context.

bash
# Fetch realized profit and loss (PnL) for a specific wallet address
curl -X GET "https://api.aisa.one/apis/v1/polymarket/wallet/pnl/{wallet_address}?granularity=day" \
  -H "Authorization: Bearer $AISA_API_KEY"

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
77% confidence
Finding

The client reads the AISA_API_KEY from the environment, which is access to a sensitive credential source. Although this is typical for API clients, there is no explicit warning or disclosure beyond the requirement message, and the skill file does not inform users that the script depends on and consumes a bearer token from environment state.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This code sends user-supplied wallet addresses and related query parameters to a remote API endpoint, which is a form of network transmission of user data. While the script's purpose is to retrieve market data, there is no explicit user-facing warning in the code that wallet identifiers and activity lookups will be sent to the external AIsa service.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.